Spatial regression analysis using Eigenvector spatial filtering

Spatial regression analysis using Eigenvector spatial filtering

by Griffith, Daniel A.

Type Book
Rate 0.0 /5

"Spatial Regression Analysis Using Eigenvector Spatial Filtering provides both theoretical foundations and guidance on practical implementation for the eigenvector spatial filtering (ESF) technique. ESF is a novel and powerful spatial statistical methodology that allows spatial scientists to account for spatial autocorrelation in georeferenced data analyses. With its flexible structure, ESF can be easily applied to generalized linear regression models. The book discusses ESF specifications for …

Read More ↓
Details
Files
Reviews
Download

Title Statements

  • Full title :Spatial regression analysis using Eigenvector spatial filtering / Daniel A. Griffith, Yongwan Chun, Bin Li ; foreword by Pierre Legendre ; series editor Giuseppe Arbia.

Summary

"Spatial Regression Analysis Using Eigenvector Spatial Filtering provides both theoretical foundations and guidance on practical implementation for the eigenvector spatial filtering (ESF) technique. ESF is a novel and powerful spatial statistical methodology that allows spatial scientists to account for spatial autocorrelation in georeferenced data analyses. With its flexible structure, ESF can be easily applied to generalized linear regression models. The book discusses ESF specifications for various intermediate-level topics, including spatially varying coefficients models, (non) linear mixed models, local spatial autocorrelation, and spatial interaction models. In addition, it provides a tutorial for ESF model specification and interfaces, including author developed, user-friendly software"--

Read More ↓

Edition Statements

  • Publication Date:2019

Publication Statements

  • Publisher(s):Academic Press
  • Place of Publication:London, United Kingdom
  • Language:eng
  • Publication Date:2019

The Physical Object

  • Description:xxviii, 258 pages ; : 23 cm

Edition Identifiers

  • ISBN:0128150432, 9780128150436
  • oclc:on1082237895
  • LC Classification:QA278.2
  • Dewey Decimal:519.536

Subjects

Analyse de régression Analyse spatiale (Statistique) Eigenvectors mathematics regression analysis Regressionsanalyse spatial analysis Spatial analysis (Statistics) Vecteurs

Writers

Griffith, Daniel A. Chun, Yongwan Li, Bin

More from this Series

  • Spatial analysis using big data

    2019
    more →
    Spatial analysis using big data

  • Spatial analysis using big data

    2020
    more →
    Spatial analysis using big data

  • Spatial analysis using big data

    2020
    more →
    Spatial analysis using big data

  • Spatial regression analysis using eigenvector spatial filtering

    © 2019
    more →
    Spatial regression analysis using eigenvector spatial filtering

  • Spatial regression analysis using eigenvector spatial filtering$Danie…

    2019
    more →
    Spatial regression analysis using eigenvector spatial filtering$Daniel A. Griffith, Yongwan Chun, Bin Li ; foreword by Pierre Legendre

Rate & Review

0.0/5
(0 people Voted)

No reviews yet. Be the first to rate this work.

Files & Downloads

No downloadable files are registered for this work yet.